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Salary: USD 225,400 - 418,600 / annual
DTX Pharma, a Novartis Company, is seeking an Executive Director of Applied AI to lead the organization's transformation into an AI-first enterprise. This is a strategic leadership role combining technical depth, product thinking, and enterprise influence to turn high-value business challenges into secure, scalable AI products and intelligent workflows.
You will define and lead the applied AI deployment strategy and execution roadmap across enterprise business units, acting as a forward-deployed AI engineering leader partnering directly with senior business and technology leaders. Key responsibilities include leading technical solution architecture for complex AI deployments, making hands-on decisions on application architecture, system integration patterns, model orchestration, APIs, security controls, and production infrastructure.
You will lead end-to-end implementation, customization, integration, and scaling of generative AI, agentic systems, and workflow automation solutions in production environments. You'll build, lead, and coach a small, globally distributed team of applied AI engineers, establishing engineering excellence through technical review processes, coding standards, and career development while actively guiding delivery on critical engagements.
Additional responsibilities include establishing delivery frameworks and engineering standards supporting scalability, reliability, security, and maintainability; creating reusable AI services, accelerators, and integration patterns; partnering with data, infrastructure, security, and compliance teams; tracking solution performance and business value; and communicating technical transformation vision and business impact to senior executives.
Required qualifications include a Bachelor's degree in computer science, engineering, data science, or related field, and at least 15 years of progressive experience in technology leadership, enterprise AI transformation, or complex solution delivery, including leadership of senior technical and cross-functional teams. You must have deep, hands-on expertise in applied AI delivery, strong software and product engineering grounding, hands-on proficiency with modern AI engineering stacks (Python, cloud platforms, LLM orchestration, vector databases, MLOps), and demonstrated success defining and scaling enterprise-level AI initiatives with measurable business value.
Desirable qualifications include a Master's degree or MBA, experience delivering AI solutions in healthcare, life sciences, or regulated environments, or prior startup experience.
